Pasi Liljeberg
Professor, Head of Department
pasi.liljeberg@utu.fi +358 29 450 2469 +358 40 543 3722 Vesilinnantie 5 Turku Työhuone: 1st floor ORCID-tunniste: https://orcid.org/0000-0002-9392-3589 |
Biomedical engineering, Internet of Things, edge computing, Wearable sensors, Digital health technology, Health data analytics, Approximate and adaptive computing,
Research interest fall to the areas of biomedical engineering, health technology and edge computing. Please see also: https://healthtech.utu.fi
Pasi Liljeberg received MSc and PhD degrees in information and communication technology from the University of Turku, Turku, Finland, in 1999 and 2005, respectively. He received Adjunct professorship in embedded computing architectures in 2010. Currently he is working as a full professor in University of Turku in the Digital Health Technology unit. At the same time he serves as head of the Department of Computing, Faculty of Technology, University of Turku. His research interests are biomedical engineering, Internet of Things, edge computing, approximate and adaptive computing, wearable sensors, digital health technology and health data analytics. Liljeberg is the (co-)author of around 300 peer-reviewed publications.
My research interest fall in the field of biomedical engineering, health technology and Internet-of-Things. This is in the context wearable biomedical, wearable technology, applied machine learning, bio-signal processing, health informatics and edge computing. Special attention is paid to novel biomedical sensing applications, wearable computing, analytics, informatics, communication, and networking paradigms, especial focus onhealthcare and wellbeing applications.
Teaching interest in the field of Health Technology in general.
- Accuracy-Aware Power Management for Many-Core Systems Running Error-Resilient Applications (2017)
- IEEE Transactions on Very Large Scale Integration (VLSI) Systems
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - A perspective on dark silicon (2017) The Dark Side of Silicon: Energy Efficient Computing in the Dark Silicon Era Anil Kanduri, Amir M. Rahmani, Pasi Liljeberg, Ahmed Hemani, Axel Jantsch, Hannu Tenhunen
(A3 Vertaisarvioitu kirjan tai muun kokoomateoksen osa) - Autonomous Patient/Home Health Monitoring Powered by Energy Harvesting (2017) Proceedings of the 2017 IEEE Global Communications Conference (GLOBECOM) Mai Ali, Tuan Nguyen Gia, Abd-Elhamid Taha, Amir M. Rahmani, Tomi Westerlund, Pasi Liljeberg, Hannu Tenhunen
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Can Dark Silicon Be Exploited to Prolong System Lifetime? (2017)
- IEEE Design and Test
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Dark silicon patterning: Efficient power utilization through run-time mapping (2017) The Dark Side of Silicon: Energy Efficient Computing in the Dark Silicon Era Anil Kanduri, Mohammad-Hashem Haghbayan, Amir M. Rahmani, Pasi Liljeberg, Axel Jantsch, Hannu Tenhunen
(A3 Vertaisarvioitu kirjan tai muun kokoomateoksen osa) - DoS-IL: A Domain Specific Internet of Things Language for Resource Constrained Devices (2017)
- Procedia Computer Science
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Energy-efficient IoT-enabled fall detection system with messenger-based notification (2017)
- Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Enhancing the Early Warning Score System Using Data Confidence (2017) Wireless Mobile Communication and Healthcare: 6th International Conference, MobiHealth 2016, Milan, Italy, November 14-16, 2016, Proceedings Maximilian Götzinger, Nima Taherinejad, Amir M. Rahmani, Pasi Liljeberg, Axel Jantsch, Hannu Tenhunen
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Fog computing fundamentals in the Internet-of-Things (2017) Fog Computing in the Internet of Things: Intelligence at the Edge Behailu Negash, Amir M. Rahmani, Pasi Liljeberg, Axel Jantsch
(A3 Vertaisarvioitu kirjan tai muun kokoomateoksen osa) - Fog Computing in the Internet of Things: Intelligence at the Edge (2017) Amir Rahmani, Pasi Liljeberg, Jürgo-Sören Preden, Axel Jantsch
(C2 Toimitustyö tieteelliselle kokoomateokselle) - From threads to events: Adapting a lightweight middleware for Contiki OS (2017) Noman Uzair A, Negash Behailu, Rahmani Amir M, Liljeberg Pasi, Tenhunen Hannu
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - HiCH: Hierarchical Fog-Assisted Computing Architecture for Healthcare IoT (2017)
- ACM Transactions in Embedded Computing Systems
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Internet of things for remote elderly monitoring: a study from user-centered perspective (2017)
- Journal of Ambient Intelligence and Humanized Computing
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - IoT-based continuous glucose monitoring system: A feasibility study (2017)
- Procedia Computer Science
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Leveraging fog computing for healthcare IoT (2017) Fog Computing in the Internet of Things Negash B., Gia T., Anzanpour A., Azimi I., Jiang M., Westerlund T., Rahmani A., Liljeberg P., Tenhunen H.
(A3 Vertaisarvioitu kirjan tai muun kokoomateoksen osa) - Low-latency hardware architecture for cipher-based message authentication code (2017) 2017 IEEE International Symposium on Circuits and Systems (ISCAS) Ben Dhaou I., Gia T., Liljeberg P., Tenhunen H.
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Performance/Reliability-Aware Resource Management for Many-Cores in Dark Silicon Era (2017)
- IEEE Transactions on Computers
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Portable Multipurpose Bio-signal Acquisition and Wireless Streaming Device for Wearables (2017) Proceedings of the 2017 IEEE Sensors Applications Symposium (SAS 2017) Victor Kathan Sarker, Mingzhe Jiang, Tuan Nguyen Gia, Arman Anzanpour, Amir M. Rahmani, Pasi Liljeberg
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa) - Reliability-Aware Runtime Power Management for Many-Core Systems in the Dark Silicon Era (2017)
- IEEE Transactions on Very Large Scale Integration (VLSI) Systems
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Self-aware Early Warning Score System for IoT-Based Personalized Healthcare (2017) eHealth 360°: International Summit on eHealth, Budapest, Hungary, June 14-16, 2016, Revised Selected Papers Iman Azimi, Arman Anzanpour, Amir M. Rahmani, Pasi Liljeberg, Hannu Tenhunen
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)



